Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...
After 30 months of fast-paced innovation in quantum algorithms, six research groups are hoping to hit paydirt. But there can ...
Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today's evolving medical landscape.
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Personalising healthcare through data
With conversations around digital health growing louder, Hyderabad-based Ekincare CEO Kiran Kalakuntla sat down to talk about something he believes India can no longer postpone: making sense of its ...
Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
This article is the latest in the Health Affairs Forefront featured topic, Accountable Care for Population Health, featuring analysis and discussion of how to understand, design, support, and measure ...
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A breach exposed the sensitive health care data of millions. Here’s what to do if you’re affected
The cybersecurity breach comes from a health care IT company called TriZetto. You may not have heard of TriZetto, but you could nonetheless be one of the more than 3.4 million people whose sensitive ...
2,500 childcare workers across Michigan are starting to see higher wages this year as the result of a 2-year pilot program launched in November 2025. Full-time workers will receive $300 more in ...
Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...
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